Contract Full-Stack Engineer, AI Web App

@abhisyc70

Your requirement isn’t just an AI chatbot—it’s a reliable internal knowledge system where responses must be accurate, traceable, and grounded in company data. That’s where most implementations fail. I specialize in Node.js + OpenAI + PostgreSQL/pgvector RAG systems, and can build end-to-end tools combining structured data, documents, and business logic with strong safeguards. Approach: Design backend APIs for chatbot + internal tools (Node.js/Express) Implement RAG pipeline with embeddings + vector search (pgvector/PostgreSQL) Integrate LLMs with controlled prompts + fallback logic for reliability Build simple React-based internal UI for non-technical teams Add logging, feedback loops, and monitoring for continuous improvement Dockerized deployment with scalable architecture I built an AI WhatsApp chatbot handling 1000+ queries daily with OpenAI + vector search, including natural language to SQL and structured data retrieval—very similar to your internal use case. Strong experience translating business workflows into practical systems, not just AI models—ensuring usability and long-term maintainability. Available for 3–6 month engagement, can align with your team workflows. Let’s schedule a quick call to discuss your internal data structure and I’ll outline a production-ready architecture tailored to your needs.

@kaustubhbawa123

Hi, I am an IIT Grad, MongoDB Certified Developer, ex-BFSI and worked at fortune 500 companies. I will make it a reality for you. As a Contract Full Stack Engineer, I will build a scalable backend infrastructure using Node. js, Express. Kindly click on the chat button so we can discuss and get started. Will share you my prior projects done and my resume too. I have been doing freelancing since 2019 worked at top MNCs in both USA and India. Lets connect

@Srashtasoft

Hi Dear, We can support this by building end-to-end systems using Python (FastAPI) or Node.js, PostgreSQL, and vector databases (Pinecone/Weaviate) for RAG pipelines. We will design secure APIs, implement embedding-based retrieval, integrate LLMs, and containerize everything using Docker. Additionally, we can develop lightweight internal dashboards (React) with RBAC, logging, and monitoring to ensure traceability and usability across teams. Questions: ========== Do you prefer Python (FastAPI) or Node.js for the backend stack? Which LLM providers are you planning to use (OpenAI, open-source, etc.)? Do you need SSO/RBAC implemented in the first phase? What is the expected scale (number of users/data volume)? Best Regards, Srashtasoft Team

@technologiesit

As a certified Full-Stack Engineer with a primary focus on Python's frameworks like Django, FastAPI, and Node.js alike, as well as extensive experience with relevant development like RESTful APIs and architecting scalable systems, I believe I would be an excellent fit for the Backend / Full Stack Engineer role you are offering. The strength of our team, numbering over 20 professional developers and designers, lies in our ability to build end-to-end solutions - exactly what your manufacturing company requires for its internal AI tools. Aside from these specifics requirements, I strongly prioritize reliability, usability, and maintainability precisely as you've stated in your project's description. This has been the key to establishing a strong client base over the last 10 years - our dedication to delivering not just sustainable algorithms but profound long-lasting solutions. Should you entrust me with the contract, I'll be a committed partner aiding your growth by building auditable AI systems integrated with LLM APIs to tackle real-world problems. Let's proactively take your manufacturing company's digital capabilities on another level together!

@pinkeegupta

Hello I am from Indore and can help you from here. If it will work for you, please message me so that we will have detail discussion. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju

@amaank66

Hello, I am highly interested in your requirement for a Backend/Full Stack Engineer to build internal AI-powered tools. Your vision of creating reliable, knowledge-driven systems aligns perfectly with my experience in developing scalable, AI-integrated applications. I can design and implement end-to-end solutions, including backend APIs using FastAPI/Node.js, structured and unstructured data handling with PostgreSQL, and robust RAG-based systems leveraging embeddings and vector search. I have hands-on experience integrating LLM APIs to deliver accurate, context-aware responses grounded in business data. My approach focuses on: • Building secure, scalable APIs and data pipelines • Implementing retrieval-based AI systems with auditability and traceability • Containerizing applications using Docker for smooth deployment • Developing simple, user-friendly interfaces for internal teams • Setting up logging, monitoring, and feedback loops for continuous improvement I prioritize reliability, performance, and practical usability—ensuring the tools are not just functional but actively adopted by teams. I am comfortable collaborating with business stakeholders to translate workflows into efficient technical systems. I am available for a contract engagement and can start immediately, delivering high-quality solutions within your defined timelines. Looking forward to contributing to your internal AI transformation. Best regards, Amaan Khan P. CUBEMOONS PVT LTD.

@NEHABHAT92

With my extensive experience in web and mobile development, I am confident I can deliver exceptional results for your AI web application project. Having worked across numerous ecommerce and CMS platforms, I am well-versed in the necessary tools such as Python (FastAPI/Django), Node.js, Docker, and SQL to create and deploy complex systems. My understanding of APIs and system architecture will enable me to design, build, and manage the databases needed for storing your structured and unstructured internal data. Additionally, I understand the significance of deploying reliable systems within enterprises, which is why I've focused on cultivating skills that promote reliability, usability, and maintainability. My ability to work with real-world, unstructured data is essential for this project. Combining this with my deeper understanding of RAGs,, embeddings, or vector search concepts., and knowledge on authentication systems would enable me to develop not just AI models but end-to-end system solutions targeting your core objective; transforming your internal workflow system for optimal decision-making by enhancing business logic efficiency. Finally, it's worth mentioning my strong problem-solving skills combined with a 9+ years experience in this field. Over the years, I've honed the ability to think practically enabling me to translate business workflows into technical systems accurately. Ultimately,I offer cost-effective service without compromisin project

@MQamar123

With a profound dedication and passion for software development that spans over 7 years, I am your go-to Full-Stack Engineer with a focus on delivering end-to-end systems that cater to real-world problems. For your project of constructing advanced AI tools, my extensive knowledge of both backend (Python with FastAPI) and frontend (React) development combined with hands-on experience in Docker, Node.js, and PostgreSQL aligns seamlessly with your requirements. Moreover, my eye for usability, maintainability and ensuring reliability in outputs will significantly aid in troubleshooting potential issues during construction as well as post-deployment. My track record across diverse domains including web development, app development and AI using languages such as Python, Node.js, React.js will allow me to bring a unique perspective tailored to the manufacturing analyses you need. I wholeheartedly stand by my ability to meet the client's expectations and promise the same level of dedication for your project whether remote or hybrid engagement. Let's build your team's future today!

@nadeemkhan7

Hello, I went through your project description and it seems like that I am a great fit for this job. I have an expert team with many years of experience in Java, Linux, Cloud Computing, Software Architecture, Git, Web Development, AI Development. Please come over chat and discuss your requirement in a detailed way. Thank You

@chiragardeshna

Hi there, Strong alignment with this role comes from building internal AI tools using RAG pipelines, structured data systems, and scalable backend architectures for enterprise workflows. Clear understanding of developing chatbot-style applications that combine internal documents, databases, and business logic to deliver accurate, auditable responses. Hands-on expertise with Python (FastAPI), PostgreSQL, vector search, and Docker ensures reliable APIs, clean deployment, and maintainable AI systems with proper logging and monitoring. Risk is minimized through grounded retrieval, validation layers, RBAC controls, and feedback-driven improvement loops. Available to start immediately—happy to discuss use cases and demonstrate similar internal AI tool implementations. Recent work: https://www.freelancer.com/u/chiragardeshna Regards Chirag

@KarthikTechCon

Hello, I’m Karthik, a Full-Stack & AI Backend Engineer with 10+ years of experience building internal enterprise tools, RAG-based knowledge systems, and workflow automation platforms. Your requirement to develop internal AI-powered tools for manufacturing workflows strongly aligns with projects I’ve delivered involving document intelligence, APIs, and scalable deployments. Relevant Experience: ✔ Built RAG-based internal chatbots using FastAPI, LangChain, and vector databases ✔ Designed PostgreSQL-based data models for structured & unstructured data ✔ Integrated LLM APIs with business logic and validation layers ✔ Deployed containerized services using Docker on cloud/on-prem setups ✔ Developed React-based internal dashboards for non-technical teams How I Can Contribute: • Build secure backend APIs for AI knowledge assistants • Implement retrieval pipelines with embeddings & vector search • Create reliable business-rule-driven responses • Set up logging, monitoring & feedback loops • Deliver simple, intuitive internal web interfaces Availability: Open for 3–6 month contract engagement, remote or hybrid collaboration as required. I focus on delivering production-ready, reliable AI tools that improve real operational efficiency—not just prototypes. Looking forward to discussing your workflows and deployment environment. Best Regards, Karthik

@sonika1419

**DO NOT PAY ME UNTIL I COMPLETE! :)** Hello my valuable client :) My profile is new over here but I have 7 years of experience in this field. I have completely understood about your project. Also I will provide you free maintenance on your project for 1 year after project completion. I can definitely complete this in your timeframe. Give me one chance to prove myself. Hit the chat button to get started. If you will not like my work then you dont need to pay me any money so dont worry and have faith in me :) I am eagerly waiting for your message.

@bridgestonetech1

Hi, I’ve gone through your requirement and this is exactly the kind of practical AI system where execution and reliability matter more than just models. I understand you need internal AI tools that combine structured data, documents, and business logic into usable, accurate outputs and our team can handle this end-to-end. We’ve worked on similar RAG-based systems, and we’ll focus on building stable APIs (FastAPI/Node), clean data pipelines, and vector-based retrieval so responses are fast, traceable, and grounded in your data. We’ll also handle Docker deployment, logging, and simple internal UI so non-technical teams can use it आसानी से. Along with that, we’ll implement safeguards, feedback loops, and monitoring so the system improves over time and stays reliable for real business use. Are you planning to host this on a specific cloud (AWS/Azure), or should we suggest the best setup? Also, do you already have your internal data structured, or is it mostly unorganized documents right now? Let’s connect and start building this properly.

@AhmadXpert2410

Hi there, I understand you’re looking for a contract backend/full-stack engineer to build internal AI tools that make company knowledge more accessible and actionable. I can design and deploy end-to-end systems combining structured data, internal documents, and AI-assisted retrieval to deliver reliable, auditable responses for your teams, ensuring the tools are practical, scalable, and easy to use. My approach involves building robust APIs with Python (FastAPI/Django) or Node.js, integrating vector-based retrieval systems for RAG workflows, and connecting LLM APIs to generate context-aware responses. I will implement containerized deployments with Docker, set up logging and monitoring, and provide simple internal web interfaces so non-technical users can interact seamlessly with the tools. The result will be AI-powered internal applications that improve workflow efficiency, maintain high reliability, and evolve with user feedback. Your teams will have accurate, traceable insights from company data, with a maintainable system architecture ready for scaling as usage grows. Regards, Ahmad

@souravsasmal14

Hi, I’m a Full-Stack Engineer with experience building AI-powered internal tools and RAG-based systems. I’ve worked with FastAPI/Node.js, PostgreSQL, embeddings, vector search, and LLM integrations to create reliable chatbot-style applications. I can build end-to-end solutions including backend APIs, RAG pipelines using internal data, LLM integration with safeguards, Docker-based deployment, and simple user-friendly interfaces. I also ensure proper logging, monitoring, and continuous improvement based on feedback. I focus on practical, scalable systems that deliver accurate and traceable results for real business use. Availability: Immediate | Duration: 3–6 months

@GobindSawarn

I'm Govind, a seasoned full-stack engineer with a strong background in web and software development. From my analysis of your project's needs, I’m confident that my skills in Java and Web Development puts in me an advantageous position to excel on this project. I have vast experience in developing AI tools and working with complex databases like PostgreSQL- these are prerequisites for the smooth functioning of the project. Furthermore, my understanding of APIs and system architecture would be crucial for designing robust backend APIs, and integrating LLM API for query understanding in your desired system. My familiarity with Docker and deployment workflows is another plus as it aligns well with containerizing and deploying services, which the project demands. Having constructed various applications such as ERP/CRM systems and workflow automation tools, I have hands-on experience creating highly functional custom web interfaces- a necessity for your non-technical users. I am wholeheartedly dedicated to driving reliable, usable, maintainable deliveries that address real-life challenges: a drive that perfectly aligns with your need for better accessibility and implementation of company's knowledge systems

@hoanj

❤ HI. I HOPE YOU ARE DOING WELL❤ Hi! This is exactly my lane—building backend and full-stack AI-powered tools for internal enterprise workflows. How I’ll approach it: • Develop backend APIs using Python (FastAPI/Django) or Node.js for internal AI chatbots and knowledge assistants • Design and manage databases for structured and unstructured data • Implement retrieval-augmented generation (RAG) with embeddings and vector search • Integrate LLM APIs for query understanding and response generation • Containerize services with Docker and deploy scalable, maintainable systems • Create simple internal web interfaces for non-technical users • Add logging, monitoring, and feedback loops to ensure reliability Experience: I’ve built internal AI tools combining structured data, document retrieval, and LLMs, delivering auditable, high-accuracy responses for enterprise teams. Quick question: do you prefer embedding-based RAG retrieval on a cloud-managed vector database, or self-hosted solutions for full internal control?

@dushyant317

I can build and deploy end-to-end AI-powered internal tools using FastAPI/Node.js with RAG architecture, vector search, and LLM integration, ensuring reliable, auditable, and scalable knowledge systems for your teams. With experience in backend systems, Dockerized deployments, and practical AI applications, I will deliver secure APIs, clean data pipelines, and intuitive interfaces that improve internal workflows and decision-making.

@rishus237

As a senior developer with 7 years of professional experience, I deliver scalable, production-ready applications that align with your business goals. I specialize in building robust backends using Python and high-performance frontends that prioritize user retention. What I Deliver: End-to-End Engineering: From database architecture to polished UI. Automation: Streamlined workflows to reduce manual overhead. Scalability: Clean, maintainable code designed for future growth. I offer the technical maturity of a seasoned engineer to ensure your project is secure, fast, and market-ready.